{"id":"W4400377507","doi":"10.1101/2024.07.03.601239","title":"Spatial proteomic mapping of human nuclear bodies reveals new functional insights into RNA regulation","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Institute of Cancer Research; Ontario Institute for Cancer Research; McGill University; Hospital for Sick Children; Mount Sinai Hospital; Lunenfeld-Tanenbaum Research Institute; University of Toronto","funders":"","keywords":"Biology; Computational biology; RNA; Proteomics; Nuclear protein; Nuclear transport; Gene; Cell biology; Cell nucleus; Genetics; Transcription factor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001216518,0.0001176931,0.0001304821,0.000320916,0.0001265204,0.0003074448,0.00009875839,0.000183108,0.0009758087],"category_scores_gemma":[0.0001615233,0.0001142403,0.0001649347,0.0001879379,0.0001936433,0.0001929632,0.0002507807,0.0002103794,0.000498381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736716,"about_ca_system_score_gemma":0.0001056379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004029828,"about_ca_topic_score_gemma":0.0005181706,"domain_scores_codex":[0.9999454,0.000005934281,0.00000402732,0.00002166096,0.00001530984,0.000007703186],"domain_scores_gemma":[0.9999095,0.00002354013,0.00002085178,0.00001472377,0.00001579218,0.00001560702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005333601,0.000002999185,0.001187151,0.00001564322,0.000002824668,0.00003763151,0.00001612845,0.00004734403,0.9975435,0.00008107031,0.00002707824,0.0009852283],"study_design_scores_gemma":[0.00001437427,0.0000989756,0.1112141,0.0000124681,0.00002276315,0.00123928,0.0001624352,0.004124823,0.8790423,0.0007898673,0.003266047,0.00001254048],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861666,0.001002552,0.01083911,0.00009260607,0.00001004711,0.000008843205,0.0005905813,0.00007618447,0.001213584],"genre_scores_gemma":[0.987988,0.0004835667,0.008926199,0.00005616241,0.000008753583,0.00001122017,0.001048767,0.00003581993,0.001441571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009758087,"threshold_uncertainty_score":0.003264427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01635636581766102,"score_gpt":0.2361747161583281,"score_spread":0.219818350340667,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}